Here is a quiet truth about AI in 2026. The big bottleneck is not models, GPUs, or money. It is data. Real world data is expensive to collect, locked behind privacy regulations, biased toward common cases, and increasingly running out for frontier model training. The OECD has flagged data access and governance as one of the biggest barriers to responsible AI adoption.
Enter synthetic data. The practice of generating artificial training data has gone from niche to mainstream so fast that Gartner now estimates 75 percent of businesses use generative AI to produce synthetic data for their internal models in 2026. Privacy laws like California's AB 2013 (effective January 1, 2026), GDPR, India's DPDP Act, and HIPAA have made traditi